Creator · op7418
Last updated · Sep 7, 2026
Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and pl
Creator · op7418
Last updated · Sep 7, 2026
Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and pl
Creator · op7418
Last updated · Sep 7, 2026
Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and pl
Creator · op7418
Last updated · Sep 7, 2026
Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and pl
Do not auto-install
Install targets
Codex install prompt
Install the "yingzao" agent skill from https://github.com/op7418/guizang-yingzao-skill/tree/main/yingzao. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"op7418-yingzao","task":"Install yingzao","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Maintenance
fresh
4d since push
Risk
Needs review
License is unclear
GitHub quality
356
67/100 Quality · 67/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
356 GitHub stars
Repo activity
356 stars, 33 forks
Maintenance
4d since push
License
Unknown
Install
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add op7418/guizang-yingzao-skill --skill yingzaoDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/op7418-yingzao/install
Agent should check
Copy prompt
Task: Use yingzao in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/op7418-yingzao/install
Install command: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/op7418-yingzao/install
LLM text format
/api/skills/op7418-yingzao/install?format=text
Find alternatives
/api/skills/search?q=yingzao&limit=3
Agent prompt
Use yingzao for this task. Review https://www.openagentskill.com/api/skills/op7418-yingzao/install, then install with: npx skills add op7418/guizang-yingzao-skill --skill yingzaoRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/op7418-yingzao
LLM text
/api/registry/manifest/op7418-yingzao?format=text
Install alias
/api/registry/install/op7418-yingzao
Recommend
/api/registry/recommend?task=Use%20yingzao%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO356 GitHub stars
Stars/forks activity
CHECK356 stars, 33 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: yingzao description: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. ---
# Yingzao · 营造
把真实建筑与在地文化照片转译为有主体处理、主动背景、字形设计和空间互动的编辑海报。先从照片提出创意命题，再让一张兼容的主导参考强化它；Token 负责检索与机制追踪，不能替代设计判断。
## 核心合同
- 高风格化任务固定使用：Image 1 校正原图、Image 2 一张主导参考实图、Image 3 稀疏中性排版垫图。生成前必须由 `scripts/prepare_generation.py` 编译成一次调用清单，不得互相替代、改序或在调用时重新概括提示词。 - 所选 Recipe 必须保存为 `analysis/recipe.json`，再把全部启用 Token 编入 `analysis/design-plan.json`：除确定性校正项外，每个 Token 都要归入主体、背景、字体或互动动作，并指向 Image 3 中同名的区域标记。编译器把这些动作写入最终模型提示词；只在简报里出现、不进入提示词和垫图的 Token 视为未投递。 - 创意命题必须先于参考检索，并同时说明：`主体如何处理 / 背景如何主动参与 / 文字如何与真实轮廓互动 / 哪个非默认排版动作打破双居中`。 - `reinterpret` 展示字在首次生成前完成 `glyph-brief.md` 和逐字光学补偿，并在垫图使用 `guide_render: scaffold`，避免普通字体轮廓压过字形说明；不能只写宋体、黑体、衬线或“高级复古”。资料小字可使用另一常规字族。 - 图像模型必须完成语义抠取、构图修复、共同重光、背景重建、区域材质、图文遮挡等代码不能替代的动作。普通裁图、滤镜、渐变和打字能复现的方案无效。 - 单图的主体域、背景域、互动域都要在缩略尺度可见。主体居中、标题居中且互不接触的“两座孤岛”默认无效。 - 提示词只表达一个艺术方向，不拼接 Token 约束、失败案例或长验收清单。 - 只生成用户要求的数量。成图后必须读回一次并简要指出明显问题，但不自动评分、制作 proof 或重生成；用户反馈后才定向修改。
## 输入确认
从用户消息提取：地点/对象与必要文案、海报数量、是否要原图对照拼图。已明确的不再问；用户说“你决定”时默认 1 张、只用已确认或可核实短词、不生成对照拼图。名称不确定时可识别或检索，不能凭外观编造。
## 工作流
### 0. 建立安全输入
1. 运行 `python3 scripts/check_dependencies.py`。入口会自动寻找调用者目录中的兼容 `.venv`；失败时停止并说明，不全局安装，也不静默降级。 2. 产物写入调用者工作目录的 `output/yingzao/<run-id>/`，不得写入 Skill 包。 3. 每张来源运行 `scripts/photo_preflight.py`，判定 `hero / support / reject`，记录照片轴和构图问题。需要时先用 `scripts/rectify.py` 做确定性校正。 4. 事实按 `VERIFIED / OBSERVED / USER-CONFIRMED / UNCONFIRMED` 分级；只有前三类进入海报。细则见 [photo-preflight.md](references/photo-preflight.md) 与 [research-and-annotation.md](references/research-and-annotation.md)。
### 1. 冻结创意命题并选择参考
先写四域命题，再从 preflight 的受控标签检索：
```bash python3 scripts/design_tokens.py suggest \ --tag <标签> --count <数量+1> --maximize-distance \ --history output/yingzao/<run-id>/recipe-history.json \ --record-history python3 scripts/design_tokens.py recipe <id> --json \ > output/yingzao/<run-id>/analysis/recipe.json ```
零命中返回状态 2，此时换受控词重查。用 `recipe <id> --json` 取得真实 `reference_assets`，并将完整输出保存为 `analysis/recipe.json`；高风格化任务恰好选择一张主导参考。它必须与目标的主体占幅、负空间拓扑和互动边界兼容，并实际示范主体处理、主动背景和图文关系。选择方法见 [mixing-logic.md](references/mixing-logic.md)。
把会改变生成决策的内容写入 [creative-brief.md](references/creative-brief.md)，再通过 [preflight-gates.md](references/preflight-gates.md) 的八个生成前门控。
### 2. 设计字形与空间关系
按 [frontend-layout-guide.md](references/frontend-layout-guide.md) 用 `scripts/typeset_compose.py` 生成中性稀疏垫图。先写 `design-plan.json`，把四域动作分别标为 `S1 / B1 / T1 / I1` 等；对应标题层、主体轮廓和背景区域必须使用 `guide_marker + guide_label` 标在垫图上。展示层必须显式声明 `glyph_design_mode`；`reinterpret` 只画字符槽与小型字面标签，不把普通字体的大轮廓喂成最终形制。垫图只锁必要文字、层级、共同轴、阅读顺序、动作区域和主要遮挡，不锁最终颜色、材质或网页式容器。
展示标题为 `reinterpret` 时，按 [display-glyph-morphology.md](references/display-glyph-morphology.md) 保存 `analysis/glyph-brief.md`：选择一个字形谱系，记录至少五项可见特征，并逐字说明光学问题、轮廓动作和不可改变的标准部件。若声明主体压字，垫图必须用 Image 1 的真实轮廓建立 `subject-footprint` 和遮挡契约。
### 3. 整体生成
单图和同址多图融合默认使用 edit。先按 [image-generation-workflow.md](references/image-generation-workflow.md) 写提示词并运行 `scripts/prepare_generation.py`；只有脚本返回 `READY` 才能调用图像模型。调用时原样使用清单中的 `tool_arguments`，不得省略主导参考、垫图或主体/背景/互动段。
多图“合一”时逐图提取主体，重组进共享透视、光向、接触阴影、边缘语言和材质的同一环境；只有用户明确要求组照或对照时才保留照片矩形。
### 4. 交付与按需扩展
- 生成后先用读图工具打开成图，按 [image-generation-workflow.md](references/image-generation-workflow.md) 做一次五项快速读回，把最明显的 0–3 个问题写入 `analysis/readback.md`；不因此自动重生成。 - 用户不要拼图：交付海报。用户要对照：运行 `scripts/make_comparison.py ORIGINAL POSTER OUTPUT`。 - 邀请用户指出字体、主体处理、构图、材质、文案或融合关系中的具体修改。收到反馈后，局部问题以当前成图为 edit target；主体、背景、主布局、参考方向或图文关系等结构问题回到校正原图，重做命题、参考和垫图。 - 海报交付后问一次：“要不要继续把这张海报扩展成一张 3×3 视频分镜图，并附一段可直接交给视频模型的提示词？”用户同意后才读取 [video-storyboard.md](references/video-storyboard.md)；不要自动生成视频。
## 按需参考
| 情况 | 文件 | | --- | --- | | 需要具体字体、构图、材质或文化转译方法 | [art-direction.md](references/art-direction.md) | | 制作排版垫图 | [frontend-layout-guide.md](references/frontend-layout-guide.md) | | 设计展示字形 | [display-glyph-morphology.md](references/display-glyph-morphology.md) | | 维护 Recipe / Token | [token-system.md](references/token-system.md) | | 读取所选参考的编码 | [reference-encoding-matrix.md](references/reference-encoding-matrix.md)、[reference-encoding-expansion-2026.md](references/reference-encoding-expansion-2026.md)；只读命中的条目 |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for yingzao, ready for a manual X post.
yingzao: Transform real Chinese architecture and place-based cultural photos into art-directed editori... 356 stars https://www.openagentskill.com/skills/op7418-yingzao?ref=x
Listing + install path for yingzao: https://www.openagentskill.com/skills/op7418-yingzao?ref=x Install: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to op7418 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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@op7418
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsDo not auto-install
Install targets
Codex install prompt
Install the "yingzao" agent skill from https://github.com/op7418/guizang-yingzao-skill/tree/main/yingzao. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"op7418-yingzao","task":"Install yingzao","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Maintenance
fresh
4d since push
Risk
Needs review
License is unclear
GitHub quality
356
67/100 Quality · 67/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
356 GitHub stars
Repo activity
356 stars, 33 forks
Maintenance
4d since push
License
Unknown
Install
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add op7418/guizang-yingzao-skill --skill yingzaoDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/op7418-yingzao/install
Agent should check
Copy prompt
Task: Use yingzao in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/op7418-yingzao/install
Install command: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/op7418-yingzao/install
LLM text format
/api/skills/op7418-yingzao/install?format=text
Find alternatives
/api/skills/search?q=yingzao&limit=3
Agent prompt
Use yingzao for this task. Review https://www.openagentskill.com/api/skills/op7418-yingzao/install, then install with: npx skills add op7418/guizang-yingzao-skill --skill yingzaoRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/op7418-yingzao
LLM text
/api/registry/manifest/op7418-yingzao?format=text
Install alias
/api/registry/install/op7418-yingzao
Recommend
/api/registry/recommend?task=Use%20yingzao%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO356 GitHub stars
Stars/forks activity
CHECK356 stars, 33 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: yingzao description: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. ---
# Yingzao · 营造
把真实建筑与在地文化照片转译为有主体处理、主动背景、字形设计和空间互动的编辑海报。先从照片提出创意命题，再让一张兼容的主导参考强化它；Token 负责检索与机制追踪，不能替代设计判断。
## 核心合同
- 高风格化任务固定使用：Image 1 校正原图、Image 2 一张主导参考实图、Image 3 稀疏中性排版垫图。生成前必须由 `scripts/prepare_generation.py` 编译成一次调用清单，不得互相替代、改序或在调用时重新概括提示词。 - 所选 Recipe 必须保存为 `analysis/recipe.json`，再把全部启用 Token 编入 `analysis/design-plan.json`：除确定性校正项外，每个 Token 都要归入主体、背景、字体或互动动作，并指向 Image 3 中同名的区域标记。编译器把这些动作写入最终模型提示词；只在简报里出现、不进入提示词和垫图的 Token 视为未投递。 - 创意命题必须先于参考检索，并同时说明：`主体如何处理 / 背景如何主动参与 / 文字如何与真实轮廓互动 / 哪个非默认排版动作打破双居中`。 - `reinterpret` 展示字在首次生成前完成 `glyph-brief.md` 和逐字光学补偿，并在垫图使用 `guide_render: scaffold`，避免普通字体轮廓压过字形说明；不能只写宋体、黑体、衬线或“高级复古”。资料小字可使用另一常规字族。 - 图像模型必须完成语义抠取、构图修复、共同重光、背景重建、区域材质、图文遮挡等代码不能替代的动作。普通裁图、滤镜、渐变和打字能复现的方案无效。 - 单图的主体域、背景域、互动域都要在缩略尺度可见。主体居中、标题居中且互不接触的“两座孤岛”默认无效。 - 提示词只表达一个艺术方向，不拼接 Token 约束、失败案例或长验收清单。 - 只生成用户要求的数量。成图后必须读回一次并简要指出明显问题，但不自动评分、制作 proof 或重生成；用户反馈后才定向修改。
## 输入确认
从用户消息提取：地点/对象与必要文案、海报数量、是否要原图对照拼图。已明确的不再问；用户说“你决定”时默认 1 张、只用已确认或可核实短词、不生成对照拼图。名称不确定时可识别或检索，不能凭外观编造。
## 工作流
### 0. 建立安全输入
1. 运行 `python3 scripts/check_dependencies.py`。入口会自动寻找调用者目录中的兼容 `.venv`；失败时停止并说明，不全局安装，也不静默降级。 2. 产物写入调用者工作目录的 `output/yingzao/<run-id>/`，不得写入 Skill 包。 3. 每张来源运行 `scripts/photo_preflight.py`，判定 `hero / support / reject`，记录照片轴和构图问题。需要时先用 `scripts/rectify.py` 做确定性校正。 4. 事实按 `VERIFIED / OBSERVED / USER-CONFIRMED / UNCONFIRMED` 分级；只有前三类进入海报。细则见 [photo-preflight.md](references/photo-preflight.md) 与 [research-and-annotation.md](references/research-and-annotation.md)。
### 1. 冻结创意命题并选择参考
先写四域命题，再从 preflight 的受控标签检索：
```bash python3 scripts/design_tokens.py suggest \ --tag <标签> --count <数量+1> --maximize-distance \ --history output/yingzao/<run-id>/recipe-history.json \ --record-history python3 scripts/design_tokens.py recipe <id> --json \ > output/yingzao/<run-id>/analysis/recipe.json ```
零命中返回状态 2，此时换受控词重查。用 `recipe <id> --json` 取得真实 `reference_assets`，并将完整输出保存为 `analysis/recipe.json`；高风格化任务恰好选择一张主导参考。它必须与目标的主体占幅、负空间拓扑和互动边界兼容，并实际示范主体处理、主动背景和图文关系。选择方法见 [mixing-logic.md](references/mixing-logic.md)。
把会改变生成决策的内容写入 [creative-brief.md](references/creative-brief.md)，再通过 [preflight-gates.md](references/preflight-gates.md) 的八个生成前门控。
### 2. 设计字形与空间关系
按 [frontend-layout-guide.md](references/frontend-layout-guide.md) 用 `scripts/typeset_compose.py` 生成中性稀疏垫图。先写 `design-plan.json`，把四域动作分别标为 `S1 / B1 / T1 / I1` 等；对应标题层、主体轮廓和背景区域必须使用 `guide_marker + guide_label` 标在垫图上。展示层必须显式声明 `glyph_design_mode`；`reinterpret` 只画字符槽与小型字面标签，不把普通字体的大轮廓喂成最终形制。垫图只锁必要文字、层级、共同轴、阅读顺序、动作区域和主要遮挡，不锁最终颜色、材质或网页式容器。
展示标题为 `reinterpret` 时，按 [display-glyph-morphology.md](references/display-glyph-morphology.md) 保存 `analysis/glyph-brief.md`：选择一个字形谱系，记录至少五项可见特征，并逐字说明光学问题、轮廓动作和不可改变的标准部件。若声明主体压字，垫图必须用 Image 1 的真实轮廓建立 `subject-footprint` 和遮挡契约。
### 3. 整体生成
单图和同址多图融合默认使用 edit。先按 [image-generation-workflow.md](references/image-generation-workflow.md) 写提示词并运行 `scripts/prepare_generation.py`；只有脚本返回 `READY` 才能调用图像模型。调用时原样使用清单中的 `tool_arguments`，不得省略主导参考、垫图或主体/背景/互动段。
多图“合一”时逐图提取主体，重组进共享透视、光向、接触阴影、边缘语言和材质的同一环境；只有用户明确要求组照或对照时才保留照片矩形。
### 4. 交付与按需扩展
- 生成后先用读图工具打开成图，按 [image-generation-workflow.md](references/image-generation-workflow.md) 做一次五项快速读回，把最明显的 0–3 个问题写入 `analysis/readback.md`；不因此自动重生成。 - 用户不要拼图：交付海报。用户要对照：运行 `scripts/make_comparison.py ORIGINAL POSTER OUTPUT`。 - 邀请用户指出字体、主体处理、构图、材质、文案或融合关系中的具体修改。收到反馈后，局部问题以当前成图为 edit target；主体、背景、主布局、参考方向或图文关系等结构问题回到校正原图，重做命题、参考和垫图。 - 海报交付后问一次：“要不要继续把这张海报扩展成一张 3×3 视频分镜图，并附一段可直接交给视频模型的提示词？”用户同意后才读取 [video-storyboard.md](references/video-storyboard.md)；不要自动生成视频。
## 按需参考
| 情况 | 文件 | | --- | --- | | 需要具体字体、构图、材质或文化转译方法 | [art-direction.md](references/art-direction.md) | | 制作排版垫图 | [frontend-layout-guide.md](references/frontend-layout-guide.md) | | 设计展示字形 | [display-glyph-morphology.md](references/display-glyph-morphology.md) | | 维护 Recipe / Token | [token-system.md](references/token-system.md) | | 读取所选参考的编码 | [reference-encoding-matrix.md](references/reference-encoding-matrix.md)、[reference-encoding-expansion-2026.md](references/reference-encoding-expansion-2026.md)；只读命中的条目 |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for yingzao, ready for a manual X post.
yingzao: Transform real Chinese architecture and place-based cultural photos into art-directed editori... 356 stars https://www.openagentskill.com/skills/op7418-yingzao?ref=x
Listing + install path for yingzao: https://www.openagentskill.com/skills/op7418-yingzao?ref=x Install: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to op7418 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/op7418-yingzao?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/op7418-yingzao/audit)
[](https://www.openagentskill.com/skills/op7418-yingzao?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)op7418
@op7418
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsDo not auto-install
Install targets
Codex install prompt
Install the "yingzao" agent skill from https://github.com/op7418/guizang-yingzao-skill/tree/main/yingzao. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"op7418-yingzao","task":"Install yingzao","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Maintenance
fresh
4d since push
Risk
Needs review
License is unclear
GitHub quality
356
67/100 Quality · 67/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
356 GitHub stars
Repo activity
356 stars, 33 forks
Maintenance
4d since push
License
Unknown
Install
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add op7418/guizang-yingzao-skill --skill yingzaoDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/op7418-yingzao/install
Agent should check
Copy prompt
Task: Use yingzao in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/op7418-yingzao/install
Install command: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/op7418-yingzao/install
LLM text format
/api/skills/op7418-yingzao/install?format=text
Find alternatives
/api/skills/search?q=yingzao&limit=3
Agent prompt
Use yingzao for this task. Review https://www.openagentskill.com/api/skills/op7418-yingzao/install, then install with: npx skills add op7418/guizang-yingzao-skill --skill yingzaoRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/op7418-yingzao
LLM text
/api/registry/manifest/op7418-yingzao?format=text
Install alias
/api/registry/install/op7418-yingzao
Recommend
/api/registry/recommend?task=Use%20yingzao%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO356 GitHub stars
Stars/forks activity
CHECK356 stars, 33 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: yingzao description: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. ---
# Yingzao · 营造
把真实建筑与在地文化照片转译为有主体处理、主动背景、字形设计和空间互动的编辑海报。先从照片提出创意命题，再让一张兼容的主导参考强化它；Token 负责检索与机制追踪，不能替代设计判断。
## 核心合同
- 高风格化任务固定使用：Image 1 校正原图、Image 2 一张主导参考实图、Image 3 稀疏中性排版垫图。生成前必须由 `scripts/prepare_generation.py` 编译成一次调用清单，不得互相替代、改序或在调用时重新概括提示词。 - 所选 Recipe 必须保存为 `analysis/recipe.json`，再把全部启用 Token 编入 `analysis/design-plan.json`：除确定性校正项外，每个 Token 都要归入主体、背景、字体或互动动作，并指向 Image 3 中同名的区域标记。编译器把这些动作写入最终模型提示词；只在简报里出现、不进入提示词和垫图的 Token 视为未投递。 - 创意命题必须先于参考检索，并同时说明：`主体如何处理 / 背景如何主动参与 / 文字如何与真实轮廓互动 / 哪个非默认排版动作打破双居中`。 - `reinterpret` 展示字在首次生成前完成 `glyph-brief.md` 和逐字光学补偿，并在垫图使用 `guide_render: scaffold`，避免普通字体轮廓压过字形说明；不能只写宋体、黑体、衬线或“高级复古”。资料小字可使用另一常规字族。 - 图像模型必须完成语义抠取、构图修复、共同重光、背景重建、区域材质、图文遮挡等代码不能替代的动作。普通裁图、滤镜、渐变和打字能复现的方案无效。 - 单图的主体域、背景域、互动域都要在缩略尺度可见。主体居中、标题居中且互不接触的“两座孤岛”默认无效。 - 提示词只表达一个艺术方向，不拼接 Token 约束、失败案例或长验收清单。 - 只生成用户要求的数量。成图后必须读回一次并简要指出明显问题，但不自动评分、制作 proof 或重生成；用户反馈后才定向修改。
## 输入确认
从用户消息提取：地点/对象与必要文案、海报数量、是否要原图对照拼图。已明确的不再问；用户说“你决定”时默认 1 张、只用已确认或可核实短词、不生成对照拼图。名称不确定时可识别或检索，不能凭外观编造。
## 工作流
### 0. 建立安全输入
1. 运行 `python3 scripts/check_dependencies.py`。入口会自动寻找调用者目录中的兼容 `.venv`；失败时停止并说明，不全局安装，也不静默降级。 2. 产物写入调用者工作目录的 `output/yingzao/<run-id>/`，不得写入 Skill 包。 3. 每张来源运行 `scripts/photo_preflight.py`，判定 `hero / support / reject`，记录照片轴和构图问题。需要时先用 `scripts/rectify.py` 做确定性校正。 4. 事实按 `VERIFIED / OBSERVED / USER-CONFIRMED / UNCONFIRMED` 分级；只有前三类进入海报。细则见 [photo-preflight.md](references/photo-preflight.md) 与 [research-and-annotation.md](references/research-and-annotation.md)。
### 1. 冻结创意命题并选择参考
先写四域命题，再从 preflight 的受控标签检索：
```bash python3 scripts/design_tokens.py suggest \ --tag <标签> --count <数量+1> --maximize-distance \ --history output/yingzao/<run-id>/recipe-history.json \ --record-history python3 scripts/design_tokens.py recipe <id> --json \ > output/yingzao/<run-id>/analysis/recipe.json ```
零命中返回状态 2，此时换受控词重查。用 `recipe <id> --json` 取得真实 `reference_assets`，并将完整输出保存为 `analysis/recipe.json`；高风格化任务恰好选择一张主导参考。它必须与目标的主体占幅、负空间拓扑和互动边界兼容，并实际示范主体处理、主动背景和图文关系。选择方法见 [mixing-logic.md](references/mixing-logic.md)。
把会改变生成决策的内容写入 [creative-brief.md](references/creative-brief.md)，再通过 [preflight-gates.md](references/preflight-gates.md) 的八个生成前门控。
### 2. 设计字形与空间关系
按 [frontend-layout-guide.md](references/frontend-layout-guide.md) 用 `scripts/typeset_compose.py` 生成中性稀疏垫图。先写 `design-plan.json`，把四域动作分别标为 `S1 / B1 / T1 / I1` 等；对应标题层、主体轮廓和背景区域必须使用 `guide_marker + guide_label` 标在垫图上。展示层必须显式声明 `glyph_design_mode`；`reinterpret` 只画字符槽与小型字面标签，不把普通字体的大轮廓喂成最终形制。垫图只锁必要文字、层级、共同轴、阅读顺序、动作区域和主要遮挡，不锁最终颜色、材质或网页式容器。
展示标题为 `reinterpret` 时，按 [display-glyph-morphology.md](references/display-glyph-morphology.md) 保存 `analysis/glyph-brief.md`：选择一个字形谱系，记录至少五项可见特征，并逐字说明光学问题、轮廓动作和不可改变的标准部件。若声明主体压字，垫图必须用 Image 1 的真实轮廓建立 `subject-footprint` 和遮挡契约。
### 3. 整体生成
单图和同址多图融合默认使用 edit。先按 [image-generation-workflow.md](references/image-generation-workflow.md) 写提示词并运行 `scripts/prepare_generation.py`；只有脚本返回 `READY` 才能调用图像模型。调用时原样使用清单中的 `tool_arguments`，不得省略主导参考、垫图或主体/背景/互动段。
多图“合一”时逐图提取主体，重组进共享透视、光向、接触阴影、边缘语言和材质的同一环境；只有用户明确要求组照或对照时才保留照片矩形。
### 4. 交付与按需扩展
- 生成后先用读图工具打开成图，按 [image-generation-workflow.md](references/image-generation-workflow.md) 做一次五项快速读回，把最明显的 0–3 个问题写入 `analysis/readback.md`；不因此自动重生成。 - 用户不要拼图：交付海报。用户要对照：运行 `scripts/make_comparison.py ORIGINAL POSTER OUTPUT`。 - 邀请用户指出字体、主体处理、构图、材质、文案或融合关系中的具体修改。收到反馈后，局部问题以当前成图为 edit target；主体、背景、主布局、参考方向或图文关系等结构问题回到校正原图，重做命题、参考和垫图。 - 海报交付后问一次：“要不要继续把这张海报扩展成一张 3×3 视频分镜图，并附一段可直接交给视频模型的提示词？”用户同意后才读取 [video-storyboard.md](references/video-storyboard.md)；不要自动生成视频。
## 按需参考
| 情况 | 文件 | | --- | --- | | 需要具体字体、构图、材质或文化转译方法 | [art-direction.md](references/art-direction.md) | | 制作排版垫图 | [frontend-layout-guide.md](references/frontend-layout-guide.md) | | 设计展示字形 | [display-glyph-morphology.md](references/display-glyph-morphology.md) | | 维护 Recipe / Token | [token-system.md](references/token-system.md) | | 读取所选参考的编码 | [reference-encoding-matrix.md](references/reference-encoding-matrix.md)、[reference-encoding-expansion-2026.md](references/reference-encoding-expansion-2026.md)；只读命中的条目 |
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for yingzao, ready for a manual X post.
yingzao: Transform real Chinese architecture and place-based cultural photos into art-directed editori... 356 stars https://www.openagentskill.com/skills/op7418-yingzao?ref=x
Listing + install path for yingzao: https://www.openagentskill.com/skills/op7418-yingzao?ref=x Install: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to op7418 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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[](https://www.openagentskill.com/skills/op7418-yingzao/audit)
[](https://www.openagentskill.com/skills/op7418-yingzao?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)op7418
@op7418
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Do not auto-install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsDo not auto-install
Install targets
Codex install prompt
Install the "yingzao" agent skill from https://github.com/op7418/guizang-yingzao-skill/tree/main/yingzao. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"op7418-yingzao","task":"Install yingzao","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Maintenance
fresh
4d since push
Risk
Needs review
License is unclear
GitHub quality
356
67/100 Quality · 67/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
356 GitHub stars
Repo activity
356 stars, 33 forks
Maintenance
4d since push
License
Unknown
Install
npx skills add op7418/guizang-yingzao-skill --skill yingzao
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add op7418/guizang-yingzao-skill --skill yingzaoDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/op7418-yingzao/install
Agent should check
Copy prompt
Task: Use yingzao in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20yingzao%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/op7418-yingzao/install
Install command: npx skills add op7418/guizang-yingzao-skill --skill yingzao
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/op7418-yingzao/install
LLM text format
/api/skills/op7418-yingzao/install?format=text
Find alternatives
/api/skills/search?q=yingzao&limit=3
Agent prompt
Use yingzao for this task. Review https://www.openagentskill.com/api/skills/op7418-yingzao/install, then install with: npx skills add op7418/guizang-yingzao-skill --skill yingzaoRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/op7418-yingzao
LLM text
/api/registry/manifest/op7418-yingzao?format=text
Install alias
/api/registry/install/op7418-yingzao
Recommend
/api/registry/recommend?task=Use%20yingzao%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO356 GitHub stars
Stars/forks activity
CHECK356 stars, 33 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
CHECKUnknown
Good signals
Review before install
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: yingzao description: Transform real Chinese architecture and place-based cultural photos into art-directed editorial posters, integrated multi-photo scenes, and optional source comparisons. Use for historic buildings, vernacular streets, culturally rooted shops, interiors, food, travel covers, and place montages; do not use for generic advertising, routine retouching, or invented places. ---
# Yingzao · 营造
把真实建筑与在地文化照片转译为有主体处理、主动背景、字形设计和空间互动的编辑海报。先从照片提出创意命题，再让一张兼容的主导参考强化它；Token 负责检索与机制追踪，不能替代设计判断。
## 核心合同
- 高风格化任务固定使用：Image 1 校正原图、Image 2 一张主导参考实图、Image 3 稀疏中性排版垫图。生成前必须由 `scripts/prepare_generation.py` 编译成一次调用清单，不得互相替代、改序或在调用时重新概括提示词。 - 所选 Recipe 必须保存为 `analysis/recipe.json`，再把全部启用 Token 编入 `analysis/design-plan.json`：除确定性校正项外，每个 Token 都要归入主体、背景、字体或互动动作，并指向 Image 3 中同名的区域标记。编译器把这些动作写入最终模型提示词；只在简报里出现、不进入提示词和垫图的 Token 视为未投递。 - 创意命题必须先于参考检索，并同时说明：`主体如何处理 / 背景如何主动参与 / 文字如何与真实轮廓互动 / 哪个非默认排版动作打破双居中`。 - `reinterpret` 展示字在首次生成前完成 `glyph-brief.md` 和逐字光学补偿，并在垫图使用 `guide_render: scaffold`，避免普通字体轮廓压过字形说明；不能只写宋体、黑体、衬线或“高级复古”。资料小字可使用另一常规字族。 - 图像模型必须完成语义抠取、构图修复、共同重光、背景重建、区域材质、图文遮挡等代码不能替代的动作。普通裁图、滤镜、渐变和打字能复现的方案无效。 - 单图的主体域、背景域、互动域都要在缩略尺度可见。主体居中、标题居中且互不接触的“两座孤岛”默认无效。 - 提示词只表达一个艺术方向，不拼接 Token 约束、失败案例或长验收清单。 - 只生成用户要求的数量。成图后必须读回一次并简要指出明显问题，但不自动评分、制作 proof 或重生成；用户反馈后才定向修改。
## 输入确认
从用户消息提取：地点/对象与必要文案、海报数量、是否要原图对照拼图。已明确的不再问；用户说“你决定”时默认 1 张、只用已确认或可核实短词、不生成对照拼图。名称不确定时可识别或检索，不能凭外观编造。
## 工作流
### 0. 建立安全输入
1. 运行 `python3 scripts/check_dependencies.py`。入口会自动寻找调用者目录中的兼容 `.venv`；失败时停止并说明，不全局安装，也不静默降级。 2. 产物写入调用者工作目录的 `output/yingzao/<run-id>/`，不得写入 Skill 包。 3. 每张来源运行 `scripts/photo_preflight.py`，判定 `hero / support / reject`，记录照片轴和构图问题。需要时先用 `scripts/rectify.py` 做确定性校正。 4. 事实按 `VERIFIED / OBSERVED / USER-CONFIRMED / UNCONFIRMED` 分级；只有前三类进入海报。细则见 [photo-preflight.md](references/photo-preflight.md) 与 [research-and-annotation.md](references/research-and-annotation.md)。
### 1. 冻结创意命题并选择参考
先写四域命题，再从 preflight 的受控标签检索：
```bash python3 scripts/design_tokens.py suggest \ --tag <标签> --count <数量+1> --maximize-distance \ --history output/yingzao/<run-id>/recipe-history.json \ --record-history python3 scripts/design_tokens.py recipe <id> --json \ > output/yingzao/<run-id>/analysis/recipe.json ```
零命中返回状态 2，此时换受控词重查。用 `recipe <id> --json` 取得真实 `reference_assets`，并将完整输出保存为 `analysis/recipe.json`；高风格化任务恰好选择一张主导参考。它必须与目标的主体占幅、负空间拓扑和互动边界兼容，并实际示范主体处理、主动背景和图文关系。选择方法见 [mixing-logic.md](references/mixing-logic.md)。
把会改变生成决策的内容写入 [creative-brief.md](references/creative-brief.md)，再通过 [preflight-gates.md](references/preflight-gates.md) 的八个生成前门控。
### 2. 设计字形与空间关系
按 [frontend-layout-guide.md](references/frontend-layout-guide.md) 用 `scripts/typeset_compose.py` 生成中性稀疏垫图。先写 `design-plan.json`，把四域动作分别标为 `S1 / B1 / T1 / I1` 等；对应标题层、主体轮廓和背景区域必须使用 `guide_marker + guide_label` 标在垫图上。展示层必须显式声明 `glyph_design_mode`；`reinterpret` 只画字符槽与小型字面标签，不把普通字体的大轮廓喂成最终形制。垫图只锁必要文字、层级、共同轴、阅读顺序、动作区域和主要遮挡，不锁最终颜色、材质或网页式容器。
展示标题为 `reinterpret` 时，按 [display-glyph-morphology.md](references/display-glyph-morphology.md) 保存 `analysis/glyph-brief.md`：选择一个字形谱系，记录至少五项可见特征，并逐字说明光学问题、轮廓动作和不可改变的标准部件。若声明主体压字，垫图必须用 Image 1 的真实轮廓建立 `subject-footprint` 和遮挡契约。
### 3. 整体生成
单图和同址多图融合默认使用 edit。先按 [image-generation-workflow.md](references/image-generation-workflow.md) 写提示词并运行 `scripts/prepare_generation.py`；只有脚本返回 `READY` 才能调用图像模型。调用时原样使用清单中的 `tool_arguments`，不得省略主导参考、垫图或主体/背景/互动段。
多图“合一”时逐图提取主体，重组进共享透视、光向、接触阴影、边缘语言和材质的同一环境；只有用户明确要求组照或对照时才保留照片矩形。
### 4. 交付与按需扩展
- 生成后先用读图工具打开成图，按 [image-generation-workflow.md](references/image-generation-workflow.md) 做一次五项快速读回，把最明显的 0–3 个问题写入 `analysis/readback.md`；不因此自动重生成。 - 用户不要拼图：交付海报。用户要对照：运行 `scripts/make_comparison.py ORIGINAL POSTER OUTPUT`。 - 邀请用户指出字体、主体处理、构图、材质、文案或融合关系中的具体修改。收到反馈后，局部问题以当前成图为 edit target；主体、背景、主布局、参考方向或图文关系等结构问题回到校正原图，重做命题、参考和垫图。 - 海报交付后问一次：“要不要继续把这张海报扩展成一张 3×3 视频分镜图，并附一段可直接交给视频模型的提示词？”用户同意后才读取 [video-storyboard.md](references/video-storyboard.md)；不要自动生成视频。
## 按需参考
| 情况 | 文件 | | --- | --- | | 需要具体字体、构图、材质或文化转译方法 | [art-direction.md](references/art-direction.md) | | 制作排版垫图 | [frontend-layout-guide.md](references/frontend-layout-guide.md) | | 设计展示字形 | [display-glyph-morphology.md](references/display-glyph-morphology.md) | | 维护 Recipe / Token | [token-system.md](references/token-system.md) | | 读取所选参考的编码 | [reference-encoding-matrix.md](references/reference-encoding-matrix.md)、[reference-encoding-expansion-2026.md](references/reference-encoding-expansion-2026.md)；只读命中的条目 |
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yingzao: Transform real Chinese architecture and place-based cultural photos into art-directed editori... 356 stars https://www.openagentskill.com/skills/op7418-yingzao?ref=x
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
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Academic Research Skills for Claude Code: research → write → review → revise → finalize
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A relentless interview to sharpen a plan or design.
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